| Predicting asthma-related emergency department visits using big data S Ram, W Zhang, M Williams, Y Pengetnze IEEE journal of biomedical and health informatics 19 (4), 1216-1223, 2015 | 227 | 2015 |
| A COMPREHENSIVE ANALYSIS OF TRIGGERS AND RISK FACTORS FOR ASTHMA BASED ON MACHINE LEARNING AND LARGE HETEROGENEOUS DATA SOURCES. W Zhang, S Ram MIS Quarterly 44 (1), 2020 | 53 | 2020 |
| Extracting Signals from Social Media for Chronic Disease Surveillance W Zhang, S Ram, B Mark, Y Pengetnze International Conference on Digital Health 2016, 79-83, 2016 | 15 | 2016 |
| A Comprehensive Methodology for Extracting Signal from Social Media Text Using Natural Language Processing and Machine Learning W Zhang, S Ram Workshop of Information Technology and Systems (WITS), 2015 | 6 | 2015 |
| In-depth Evaluation of APACHE Scoring System Using eICU Database A Rajabalizadeh, S Wang, M Javadi, N Safaei, M Talafidaryani, Q Li, ... International Conference on Information Systems (ICIS), 2020 | 3 | 2020 |
| Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach S Geng, W Zhang, J Xie, G Liang, B Niu https://doi.org/10.48550/arXiv.2306.03833, 2023 | 2 | 2023 |
| Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach W Zhang, J Xie, X Liu, Z Zhang https://arxiv.org/abs/2303.05389, 2023 | 2 | 2023 |
| Domain Adaptation for Signal Extraction from Large Social Media Datasets W Zhang, S Ram Conference on Information Systems and Technology (CIST), 2017 | 1 | 2017 |
| Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection H Liu, W Zhang, J Xie, B Kim, Z Zhang, Y Chai https://arxiv.org/abs/2401.12988, 2024 | | 2024 |
| Temporal Knowledge Graph Attention Network for Online Doctor Recommendation S Geng, B Tao, G Liang, C Fu, W Zhang, B Niu Proceedings of the 2023 8th International Conference on Intelligent …, 2023 | | 2023 |
| MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation S Wang, Q Li, W Zhang https://arxiv.org/abs/2305.00553, 2023 | | 2023 |
| ICU Outcome Predictions Using Real-Time Signals with Wavelet-Transform-based Convolutional Neural Network Y Jiang, S Wang, Q Li, W Zhang 54th Hawaii International Conference on System Sciences (HICSS 2023), 2023 | | 2023 |
| Depression Detection in Social Media Using Time- and-knowledge-aware LSTM and Depression Diagnosis-related Entity Extraction W Zhang, J Xie, X Liu, Z Zhang INFORMS Workshop on Data Science, 2022 | | 2022 |
| The Devil is in The Details: Measuring Sensory Processing Sensitivity Using Natural Language Processing L Yuan, W Zhang, K Scheibe | | 2022 |
| MD-Manifold: A Medical Distance Based Manifold Learning Approach for Heart Failure Readmission Prediction S Wang, Q Li, W Zhang | | 2021 |
| Natural Language Processing and Machine Learning for Chronic Disease Management and Prevention: Focus on Asthma W Zhang The University of Arizona., 2018 | | 2018 |
| Are Electronic Cigarettes a Safer Substitute for Cigarettes for Asthma Patients W Zhang, S Ram Workshop on Information Systems and Economics (WITS), 2017 | | 2017 |
| A Machine Learning Approach for Understanding Population-Level Health Effects of E-Cigarettes W Zhang, S Ram Conference on Health IT and Analytics (CHITA), 2017 | | 2017 |
| Asthma Surveillance Using Social Media Data W Zhang, S Ram Annual Workshop on Health IT and Economics (WHITE), 2015 | | 2015 |
| A Fuzzy MCDM Based Approach for Hybrid Recommender Systems P Yi, W Zhang, K Gang Chinese Academy of Management Annual Meeting, 2011 | | 2011 |
Sudha RamUniversity of ArizonaBestätigte E-Mail-Adresse bei eller.arizona.edu
